code: def lp_normalize(
      x: Union[tf.Tensor, tf.Variable],
      /,
      *,
      p: float = 2,
      axis: Optional[int] = None,
      out: Optional[tf.Tensor] = None,
  ) -> tf.Tensor:
      denorm = tf.norm(x, ord=p, axis=axis, keepdims=True)
      denorm = tf.math.maximum(denorm, 1e-12)
      return tf.math.divide(x, denorm)
  
file_path: ivy/ivy/functional/backends/tensorflow/experimental/norms.py
imports: import tensorflow
  from typing import Literal, Union, Optional, Tuple
  from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
  from .None import backend_version
  import math
label_desc: Use image node_id 6 for calling a global function with example usage: lp_normalize() and returns: tf